Sort by
Refine Your Search
-
University of Victoria | Victoria Central British Columbia Provincial Government, British Columbia | Canada | about 2 months ago
advances in artificial intelligence, machine learning and multidisciplinary design optimization for the synthesis of next-generation autonomous ocean and marine systems. The successful applicant will: • be
-
, interventional effects, multiple mediation), and advanced longitudinal modelling (mixed-effects models, growth curve models, latent class trajectories) with machine learning and AI-based approaches. The Lab is
-
Assistant Professor- Health Informatics and Translational Digital Health Systems and Policy Research
. Applicants are encouraged to review the research and teaching profiles of current faculty members. Please visit our home page: IHPME . RESPONSIBILITIES Advances in cutting-edge technologies such as Machine
-
underpinning fundamentals such as fluid mechanics, dynamics and control with application of recent advances in artificial intelligence, machine learning and multidisciplinary design optimization
-
architecture, computer science, engineering, human–computer interaction, public history, and information technology. This diversity and commitment to multidisciplinarity have created a unique research and
-
lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods that integrate single-cell genomics and spatial profiling to study cancer
-
, auto-synthesis units and a quality control system (HPLC, GC, TLC); a suite of shielded work areas with radiochemistry equipment; two small-animal PET-CT scanners for preclinical research; and a suite of
-
ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
growing profession that embodies the use of computer-supported collaborative tools in the execution of business functions. In this course students engage with the principles of Computer Supported Co
-
analyses using advanced scientific tools though an easy to use interface. More information about CBRAIN can be found at https://cbrain.ca and https://github.com/aces/cbrain . Reporting to the Director